Browsing Institutt for teknisk kybernetikk by Subject "Systemidentifikasjon"
Now showing items 1-5 of 5
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Connecting sensitivity, identifiability and interpretability of a glucose minimal model
(Chapter, 2024)Mathematical models have increased their applications in physiology, control and systems science, and biomedical engineering because they offer the opportunity to examine the structure and behavior of complex physiological ... -
Glucose-insulin metabolism model reduction and parameter selection using sensitivity analysis
(Journal article; Peer reviewed, 2019)Glucose-insulin metabolism models are useful tools for research on diabetes, in development of diabetes-related medical devices like artificial pancreas systems, insulin pumps and continuous glucose monitors, and may also ... -
Identifiable Prediction Animal Model for the Bi-Hormonal Intraperitoneal Artificial Pancreas
(Peer reviewed; Journal article, 2022)To achieve a fully automatic artificial pancreas (AP), i.e., an AP without the need for meal announcements, the intraperitoneal (IP) route is explored. This route has faster dynamics than the typical subcutaneous (SC) ... -
Low-Order Nonlinear Animal Model of Glucose Dynamics for a Bihormonal Intraperitoneal Artificial Pancreas
(Peer reviewed; Journal article, 2021)Objective: The design of an Artificial Pancreas to regulate blood glucose levels requires reliable control methods. Model Predictive Control has emerged as a promising approach for glycemia control. However, model-based ... -
Simple Nonlinear Models for Glucose-Insulin Dynamics: Application to Intraperitoneal Insulin Infusion
(Journal article; Peer reviewed, 2019)The design of a model-based control method for an Artificial Pancreas requires a relatively simple and identifiable mathematical model to control glucose levels through hormone delivery. In this work we introduce new, ...